What is PVSyst? 6 Reasons It Helps Financial Assessment of Solar Power Generation

PVSyst is a power generation simulation software used to evaluate the energy output and losses of photovoltaic power generation systems based on design conditions. Although the official notation is PVsyst, in this article we will also use the PVSyst notation to match more searchable spellings. It is used to set the irradiation and weather conditions at the installation site, orientation, tilt angle, panel layout, shading effects, equipment configuration, wiring conditions, and various losses, and to estimate annual and monthly power generation.

In evaluating the profitability of solar power generation, projected generation affects revenues from electricity sales, electricity bill reductions from self-consumption, investment payback, explanations for financing and internal approvals, and verification of design appropriateness. Therefore, it is important not only to look at "how much electricity is likely to be generated" but also to organize "why that amount will be generated," "which losses are large," and "how much the financials are affected when conditions change."

However, PVSyst is a tool that performs calculations based on the input conditions and does not guarantee future power generation or revenue. If the meteorological data, site conditions, shading conditions, equipment specifications, loss settings, or the like differ from reality, the simulation results may diverge from actual performance. When using it for financial assessment, it is important not to rely solely on PVSyst results as the basis for decisions, but to verify them together with site surveys, design conditions, operation and maintenance plans, and contractual terms.

Table of Contents

• What PVSyst is used to verify

• Reason 1: Makes it easy to organize assumptions about energy yield numerically

• Reason 2: Allows evaluation that reflects solar irradiance and meteorological conditions

• Reason 3: Makes it easy to incorporate the effects of shading and layout into yield and financial assessments

• Reason 4: Makes it easy to decompose loss factors and identify points for improvement

• Reason 5: Well-suited for preparing financial plans and explanations for financial institutions

• Reason 6: Makes it easy to compare differences in energy yield due to design changes

• Assumptions to be careful about when using PVSyst

• In financial assessments of solar power generation, the accuracy of site-specific information is also important

• Summary: Linking PVSyst results to on-site decision-making

What is PVSyst used to verify?

PVSyst is a specialized software used during the planning and design stages of photovoltaic power generation facilities to evaluate generated energy, losses, performance ratio, and the validity of equipment configuration. It is mainly used for research, design, and analysis of solar power systems, and is utilized not only for grid-connected plants but also for standalone systems and pumping applications as required. In financial assessments of typical solar power plants and self-consumption systems, it is particularly common to review annual energy production, monthly generation, breakdown of losses, performance ratio, and the impact of shading.

In evaluating the financials of solar power generation, many factors are involved, such as system capacity, selling price of electricity, self-consumption rate, electricity price, operation and maintenance costs, construction costs, insurance, repairs, and equipment replacement. Among these, electricity generation is an important figure that becomes the starting point for revenue and savings effects. PVSyst estimates this generation under various conditions and helps organize the assumptions to be entered into the financial statement.

Solar power generation can produce different amounts of electricity even with the same installed capacity depending on the installation region, orientation, tilt angle, surrounding obstacles, equipment configuration, wiring conditions, temperature conditions, soiling, downtime, expected degradation over time, and other factors. Therefore, it is insufficient to judge simply that "a larger installed capacity means greater energy output." For example, a layout that is near south-facing versus an east–west layout will differ not only in annual energy output but also in generation patterns in the morning, evening, and during the day. If there are buildings or forested areas nearby, shading effects may occur depending on the season and time of day.

PVSyst is a tool for entering such conditions and quantitatively verifying the expected energy production. In financial assessments, it is important not only to have the estimated energy production itself but also to be able to explain the assumptions from which that estimate is derived. If a project plan proceeds with an unclear basis for the expected energy production, actual generation falling short of expectations can cause discrepancies in revenue projections and investment payback forecasts.

Also, PVSyst results may be used as part of explanatory materials for designers, operators, contractors, clients, and financial institutions. Based on the estimated power generation, it becomes easier to整理 which conditions were considered, which losses are expected, and what design precautions should be taken. Especially for facilities intended for long-term operation, such as solar power plants, the initial power generation simulations form the foundation for business decisions.

However, PVSyst is not software that will automatically and correctly determine every on-site condition. If information such as site surveys, terrain verification, obstacle surveys, equipment specifications, or construction conditions is inaccurate, the simulation results may deviate from reality. To use PVSyst correctly, it is essential not only to know how to operate the software but also to organize the input assumptions and carry out practical checks to interpret the results.

Reason 1: It is easier to organize assumptions about power generation numerically

One reason PVSyst is useful for profitability analysis of solar power is that it makes it easy to organize assumptions about generation as numerical values. In planning solar power projects, multiple factors affect generation, such as system capacity, panel orientation, tilt angle, number of panels installed, equipment configuration, wiring, conversion efficiency, temperature conditions, shading, and soiling. Rather than judging these factors intuitively, setting them as conditions and checking the resulting generation is important for improving the accuracy of profitability assessments.

What you want to avoid in a financial feasibility assessment is judging a project's viability while the basis for the estimated power generation is unclear. If you overestimate annual generation, revenue from power sales and the savings from self‑consumption will also appear overstated. Conversely, if you estimate using only unduly conservative conditions, you may undervalue projects that actually deserve consideration. Using PVSyst makes it easier to organize which conditions were used to calculate generation and to explain the assessment results.

The financial performance of solar power generation is not determined solely by the amount of electricity generated. However, because generation is the starting point for revenue and savings effects, if it is unstable the overall plan becomes unstable as well. PVSyst lets you check annual and monthly generation, making it easier to grasp seasonal differences in output. Confirming whether generation is higher in summer, whether the winter drop is large, and what the generation trends look like throughout the year is useful when considering the financial outlook.

Also, organizing the assumptions about power generation numerically makes it easier to align stakeholders' understanding. If the conditions assumed by the design team, the on-site conditions understood by the construction team, and the revenue projections expected by the project owner are not consistent, rework can occur in later stages. By using PVSyst simulation results as a common document, the evaluation conditions are made visible, making it easier for stakeholders to discuss based on the same assumptions.

Especially when conducting a financial assessment of a solar power plant, it is necessary not to judge by installed capacity alone but to verify how much generation can actually be expected. Even if many panels can be installed, generation may be limited by shading effects or constraints in system configuration. Conversely, by revising the layout, it may be possible to reduce losses even on the same site. PVSyst serves as the basis for numerically comparing these considerations.

Additionally, clarifying the assumptions behind the estimated power generation helps with comparing actual performance after operations begin. When comparing actual generation with simulated values, having the original input conditions organized makes it easier to investigate the causes of any discrepancies. Whether the difference is due to weather, an underestimation of shading, a malfunction in the equipment, or the effects of soiling or maintenance condition, organizing the assumptions made during planning is useful.

Reason 2: Allows analysis that reflects solar irradiance and weather conditions

Solar power generation output is greatly affected by the solar irradiance and weather conditions of the installation area. Even with the same system capacity, annual generation will differ between regions with high and low irradiance. Also, during periods of high temperatures the output can decrease due to the temperature rise of the solar panels, so simply having more sunny days does not necessarily mean better performance. PVSyst is useful for financial assessments because it can evaluate generation while reflecting such irradiance and weather conditions.

When considering the economics of solar power generation, it is not appropriate to assume uniform output while ignoring the meteorological conditions of each region. Even with the same area, the same number of panels, and the same orientation, annual generation will vary depending on regional solar radiation conditions, temperature, snowfall, and cloudiness trends. Business plans need to incorporate these regional differences as assumptions. Using PVSyst makes it easy to run simulations based on weather data and to check region-specific estimates of power generation.

It is also important to be able to check monthly power generation. Even if the annual power generation appears to be profitable overall, there can be differences in generation from month to month. This is especially true for self-consumption solar power systems, where how well the times and seasons when power is generated align with the times and seasons when power is used matters. For facilities with high power demand in summer, facilities that operate largely during weekday daytime hours, or facilities with low usage on holidays, checking seasonal fluctuations in generation makes it easier to carry out a more realistic profitability assessment.

Also, power generation simulations that reflect meteorological conditions are useful for avoiding overly optimistic financial projections. In solar power planning, there is often a temptation to estimate revenue based on system capacity and ideal generation conditions. However, in reality there are factors that reduce generation, such as cloudy skies, rainy weather, rising temperatures, snowfall, soiling, and changes in the surrounding environment. By conducting assessments in PVSyst that take meteorological conditions into account, you can base your assumptions on a more realistic premise.

Reflecting solar irradiance and meteorological conditions also affects explanations required by financial institutions and internal approvals. Photovoltaic power generation systems are long-term operational assets, and projected generation directly ties into the explanation of project viability. If you can explain why that generation is expected, how regional conditions have been taken into account, and how seasonal variations are viewed, the credibility of the plan increases. PVSyst results can be organized into a format that is easy to use as supporting material for those explanations.

On the other hand, simulations using meteorological data do not perfectly predict future weather. Power generation fluctuates with year-to-year weather: some years have more sunny days, while others have more rain or clouds. Results can also vary depending on the type of meteorological data used, the observation location, and the interpolation method. Therefore, PVSyst results should not be taken as a guarantee that the output will be exactly that amount, but should be treated as an estimate based on the specified conditions. In financial assessments, it is important to base the analysis on the simulation results while also accounting for the risk of variability.

Reason 3: Easier to incorporate the impact of shading and placement into financial analysis

When considering the energy yield of solar power generation, the impact of shading is significant. Shadows cast by surrounding buildings, trees, mountains, utility poles, equipment, mounting structures, or adjacent rows of panels reduce generation during the affected periods. Shadows tend to extend particularly in the morning and evening and in winter when the solar altitude is low. PVSyst makes it easy to reflect the effects of shading and layout in analyses, helping to improve the realism of financial projections.

In solar PV planning, it can be tempting to place as many panels on the site as possible. However, packing panels too tightly can cause shading between adjacent rows, which can reduce power generation. Even if the apparent installed capacity increases, large shading losses may mean revenue does not grow as much as expected. Using PVSyst makes it easier to check the effects of different layout conditions and to decide whether to prioritize capacity or to emphasize generation efficiency and maintainability.

The impact of shading cannot be judged simply by whether shade is present or not. The effect on power generation varies depending on which season, which time of day, and which area is shaded. Even brief shading can have a large impact if it occurs during periods of high power production. Conversely, if it occurs during periods when production is already low, the effect on financial returns may be relatively small. In PVSyst, you can set shading conditions and check the resulting energy production, making it easier to incorporate shading losses into financial assessments.

Even for rooftop installations, consideration of shading is indispensable. Rooftop equipment, handrails, penthouses, adjacent buildings and the like can cast shadows. For ground-mounted installations, the slope of the developed site, surrounding trees, neighboring structures, and terrain undulations are also factors that can cause shading. If a simulation is carried out without sufficient on-site verification, there is a risk of overestimating power generation even though shadows actually exist. PVSyst has functions to examine the impact of shading, but to accurately account for shadows from nearby obstacles, a three-dimensional understanding that includes the surrounding environment is important.

In terms of layout studies as well, PVSyst is useful for financial assessment. Changing panel azimuth and tilt angle, spacing between rows, and layout patterns affects energy production and shading losses. In design, not only energy output but also constructability, maintainability, land use, provision of access ways, drainage, snow accumulation, and wind load considerations are important. In the early stages of financial assessment, it is realistic to first determine how much energy production changes with layout, and then compare that with construction and operation and maintenance costs.

Being able to quantify the effects of shading and layout is also useful when explaining to clients and internal stakeholders. Rather than simply saying “there is shading so power generation will decrease,” it is easier to make decisions if you can show how much loss is expected and how much improvement might be possible by changing the layout. Especially in projects with site constraints, there may not be an absolute correct layout. It is necessary to choose a realistic option while balancing power output, constructability, maintainability, cost, and profitability.

Reason 4: Easier to break down loss factors and identify areas for improvement

One of the major reasons PVSyst is useful for financial assessment is that it makes it easy to break down and examine the factors that reduce energy production. In solar power generation, not all of the energy from incident solar irradiance can be used directly as electricity. There are various loss factors, such as temperature rise, shading, soiling, wiring, conversion losses, orientation and tilt, mismatch, downtime, and expected degradation over time. If you look only at energy production without understanding these factors, it becomes difficult to identify where improvements can be made.

In the financial assessment, it is important not only to consider the annual electricity generation figures but also to understand the loss structure that leads to those figures. If a project’s generation is lower than expected, the countermeasures differ depending on whether the cause is shading, temperature conditions, layout/siting conditions, or equipment configuration. If shading is the primary cause, a review of the layout and any obstructions is necessary. If temperature-related losses are large, attention to the installation environment and ventilation is important. If losses from wiring or equipment configuration are significant, the design conditions need to be rechecked.

In PVSyst, you can check not only the calculated energy output but also at which stages and to what extent losses are expected. This makes it easier to consider design improvements rather than simply checking the results. By reviewing the breakdown of losses, you can prioritize the factors that have the greatest impact on profitability. While it is impossible to eliminate all losses entirely, understanding the largest loss components makes it easier to consider effective improvement measures.

Breaking down loss factors helps rein in excessive expectations. In solar power planning, it is common to focus on theoretical output or output estimated from installed capacity, but in actual operation losses always occur. Financial projections that do not adequately account for losses can result in large discrepancies between projected and actual performance. By evaluating generation while checking losses in PVSyst, it becomes easier to create a more realistic business plan.

Also, the breakdown of losses is linked to post-construction operations and management. If, after commissioning, power generation is lower than expected, comparing the losses anticipated during planning with the actual situation provides clues for identifying the cause. When considering whether soiling is greater than expected, whether the impact of shading has increased, whether there are equipment malfunctions, or whether there are grid-side constraints, the loss breakdown prepared during planning is useful.

In financial assessments, attention is often focused solely on increasing installed capacity to boost energy production. However, simply increasing capacity does not necessarily improve financial results. If the added panels are located where they are prone to shading, or if the wiring and equipment configuration becomes inefficient, the increase in generation relative to the investment may be small. By checking losses in PVSyst during the study, it becomes easier to consider design improvements that effectively improve financial performance rather than mere capacity expansion.

Reason 5: Easy to use for financial projections and for presenting to financial institutions

In solar power projects, the expected power generation is at the center of the revenue and expenditure plan. Knowing the expected generation makes it easier to assess electricity sales revenue, electricity savings from self-consumption, the investment payback period, and long-term project viability. PVSyst can output results that organize the breakdown of generation and losses, making it easy to use for internal briefings, client briefings, and preparing materials for financial institutions.

In financial projections, the basis for the figures is important. Simply stating "we can expect this level of power generation" does not make it clear under what conditions that figure was derived. Having PVSyst simulation results makes it easier to explain the estimate as one based on installation conditions, meteorological conditions, equipment specifications, and loss factors. This is particularly significant in projects where multiple stakeholders are involved in decision-making, because being able to share the basis for the expected power generation is highly meaningful.

In situations involving financial institutions or investment decisions, expected power generation is emphasized to verify the validity of business plans. If expected generation is overestimated, revenue projections will likewise be overstated, affecting repayment schedules and investment decisions. By using PVSyst to organize conditions and present generation estimates that incorporate losses, you can strengthen the explanatory power of the plan. However, simulation results alone do not guarantee project viability or lending decisions. It is necessary to consider comprehensively factors such as maintenance costs, equipment degradation, output curtailment, insurance, repairs, contract terms, and tax and accounting assumptions.

PVSyst's results are also useful for internal approvals. When introducing a new solar power generation system, the person in charge must explain to their supervisor and senior management why the system is needed, how much power can be expected, and what the financial outcome will be. Without being able to provide a basis for the expected generation, it is difficult to make a decision. Explaining based on PVSyst simulation results clarifies the plan's assumptions and makes it easier to advance decision-making.

Also, it is important for the client and the contractor to share expectations for power generation. If there is a difference between the power generation the client expects and the generation that can be expected based on the design, it can lead to trouble later unless adjustments are made early. Using PVSyst to clarify the assumptions and sharing which conditions produce which results makes it easier to reduce expectation gaps.

When using it for financial planning, it's important not to take the simulation results at face value but to also adopt a sensitivity analysis perspective. If power generation falls slightly, how much will financial performance worsen? If equipment downtime increases, how much will the payback period be affected? If power sale terms or electricity consumption conditions change, how will project viability change? Starting from PVSyst's estimated power generation and examining multiple cases on the financial statements leads to more prudent decision-making.

Reason 6: Easier to compare differences in power generation resulting from design changes

In planning solar power projects, the optimal design is rarely determined correctly on the first try. It is common to compare multiple proposals while taking into account site conditions, roof shape, orientation, tilt, the surrounding environment, construction constraints, interconnection conditions, and operation and maintenance workflows. PVSyst makes it easy to compare the differences in energy yield resulting from these design changes, thereby aiding decision-making in financial assessments.

For example, changes such as altering the panels' orientation, adjusting the tilt angle, increasing the spacing between rows, changing the number of panels in the layout, or reviewing the equipment configuration will affect energy production. Simply increasing the number of panels does not necessarily increase annual energy generation. It can lead to more shading, larger losses, or make construction and maintenance more difficult. By comparing multiple scenarios in PVSyst, it becomes easier to determine which option offers the best balance between energy production and practicality.

Comparing design changes has a direct impact on project economics. Even if energy production increases, financial results do not necessarily improve if construction or operation and maintenance costs rise substantially. Conversely, a slight reduction in energy production may be acceptable if ease of construction and maintenance improves significantly and long-term operational risks are reduced. PVSyst's role is to quantify the parts of those decisions that relate to energy production. Combining those results with financial assessment makes comprehensive decision-making easier.

In self-consumption solar PV systems, attention must be paid not only to the total energy production but also to the times of day when generation occurs. If a facility’s electricity demand does not align with the PV generation profile, the expected reduction in costs may be difficult to achieve. Changing the azimuth or tilt can shift generation toward the morning or evening. Checking generation trends with PVSyst makes it easier to design a system that fits operational objectives rather than relying solely on simple annual energy estimates.

Comparing design changes is also effective for explaining to stakeholders. If a client asks, "Can't we install more?", rather than simply answering yes or no, you can have a more convincing discussion if you can explain the energy output, the shading effects, and the changes in losses that would result from adding more installations. Conversely, when the designer proposes a layout change, showing its impact on energy output and losses clarifies the rationale for the proposal.

In evaluating the financial performance of a solar power project, it is necessary to ultimately decide 'which option is best.' However, that decision is based on multiple factors, not just energy production, but also constructability, operations and maintenance, regulatory requirements, contractual conditions, grid connection, future upkeep, and site utilization. PVSyst is a tool that supports the analysis of energy production and losses among these. By understanding the differences in energy production caused by design changes, it becomes easier to concretely assess their impact on the project's finances.

Prerequisites to Be Aware of When Using PVSyst

PVSyst is software that helps evaluate the financial performance of solar power generation, but if the input conditions are inaccurate, the results can diverge from reality. A simulation is, after all, a calculation based on the conditions you set. Therefore, when using PVSyst it is important to confirm what information you are entering and at what level of accuracy. In particular, site conditions, meteorological conditions, equipment specifications, shading conditions, and loss conditions greatly influence the results.

First, what’s important is information about the installation site. If latitude, longitude, elevation, orientation, tilt, site shape, roof shape, and the like are not correctly reflected, there will be discrepancies in the expected power generation. In particular, when roofs or terrain are complex, planar drawings alone may not be sufficient to fully capture actual shading and slopes. It is important to combine on-site surveys, photographs, point cloud data, and design drawings to establish assumptions as accurately as possible.

Next is information about nearby obstructions and shading. There may be obstacles at the site that are not easily shown on drawings. Trees, fences, adjacent buildings, existing equipment, utility poles, signs, rooftop equipment, and similar items can cast shadows. If these are overlooked, actual power generation may be reduced by shading even if simulations indicate good output. During the financial assessment stage, you need to consider not only the presence of shading but also how it changes with the seasons and time of day.

Verification of equipment specifications is also indispensable. Specifications of conversion equipment such as solar panels and power conditioners, capacity ratios, wiring configurations, and circuit conditions affect simulation results. If a simulation is performed under conditions that differ from the equipment actually to be adopted, estimates of power generation and losses may vary. If equipment is undecided in the early planning stages, it is advisable to make clear that the conditions are provisional and to recalculate after equipment selection.

Care must be taken when setting assumptions about losses. Annual power generation will vary depending on how you account for conditions such as soiling, temperature, wiring, equipment conversion, downtime, and degradation over time. If losses are underestimated, the financial projections will be optimistic. If losses are overestimated, you may undervalue the project's viability. The important thing is not to adopt convenient assumptions without justification. You need to set reasonable conditions that match the local environment and operational policies.

Also, when using PVSyst results as documentation, it is important to clearly define the purpose of the simulation. Whether it is a rough estimate, a design comparison, for internal approval, for loan or financing explanations, or the final pre-construction check, the required level of accuracy and the items to be verified will differ. In early-stage studies a rough comparison may be acceptable, but when using the results for investment or contract decisions, more detailed verification of conditions is necessary.

Additionally, you should check the software version and the update status of its databases. If data for solar panels, inverters, weather data, or calculation conditions remain outdated, they may no longer match the actual design conditions. If the documents are to be used as submission materials, record the software version used, the weather data, the main input conditions, and the creation date so that the assumptions can be easily verified later.

The accuracy of on-site information is also important in assessing the profitability of solar power generation

When using PVSyst, the accuracy of on-site information is as important as knowing how to use the software. No matter how advanced the simulation, if the site conditions entered are inaccurate, the reliability of the results will not improve. In evaluating the economics of photovoltaic power generation, it is necessary to accurately capture not only solar irradiance and equipment conditions but also the shape of the site and roof, orientation, tilt, obstacles, shading, and the feasible installation area.

If you proceed with insufficient site information, design changes may be required later. This can include a location that appeared installable on the drawings actually having an obstruction, the slope being steeper than expected, significant shading from surrounding structures, or the number of panels being reduced when maintenance access is provided. Such changes affect not only power generation but also construction costs, schedules, and financial plans.

Especially in profitability assessments, it is important to match the expected power generation with the actual installation conditions as closely as possible. By conducting on-site surveys and verifying current conditions, accurately understanding the installation area, orientation, tilt, and positions of obstacles will increase the reliability of the inputs to PVSyst. Conversely, if simulations are run without sufficiently confirming on-site conditions, you may obtain results that look well-presented but do not match the actual plan.

In recent years, the use of three-dimensional on-site information in the design and installation of solar power systems has been increasing. When the site's topography and obstacles can be understood in three dimensions, it becomes easier to check for shading, plan layouts, and organize the construction area. Even if the power generation simulation itself is performed with PVSyst, accurately acquiring on-site information beforehand is a key factor that supports the accuracy of profitability assessments.

For rooftop installations, it is necessary to check the roof surface dimensions, slope, orientation, locations of existing equipment, and the areas where work can be carried out safely. For ground-mounted installations, factors such as site boundaries, site grading, variations in ground elevation, surrounding trees, drainage, access/maintenance paths, and racking layout are relevant. This information affects not only energy production but also constructability and maintainability. Before evaluating energy production with PVSyst, carefully organizing the on-site conditions will ultimately improve the quality of the financial assessment.

Thus, PVSyst is an effective tool for calculating energy yield, but it only reaches its full potential when combined with accurate site information. In assessing the financial performance of solar power projects, it is important to connect desk-based simulations with actual on-site conditions. Using on-site information at the design, construction, and operation stages to bring simulation conditions closer to reality leads to more credible business decisions.

Summary: Connecting PVSyst Results to On-site Decision-Making

PVSyst is software that helps simulate the power output of solar photovoltaic systems and organize the basis for financial assessments. Because it can evaluate generation using site irradiance and weather conditions, orientation, tilt, shading, system configuration, and various losses, it becomes an important decision-making tool during the planning stage of solar power projects. In particular, the ability to check annual and monthly generation and the breakdown of losses is highly significant when considering expected revenue and investment payback.

The reasons PVSyst is useful in financial feasibility studies are that it allows you to organize generation assumptions numerically, reflect regional solar irradiation and weather conditions, check the effects of shading and layout, break down loss factors to identify areas for improvement, easily use the results for internal and financial institution briefings, and readily compare differences in generation caused by design changes. All of these are important for clarifying the basis of generation estimates and improving the accuracy of financial judgments.

On the other hand, PVSyst results are greatly influenced by the input conditions. If site conditions are inaccurate, shadows or obstacles are overlooked, or equipment specifications and loss assumptions differ from reality, the simulation results will also diverge from actual performance. In other words, mastering PVSyst requires not only proficiency in using the software but also collecting site information and organizing the underlying assumptions.

In financial assessments of solar power generation, it is important to connect desktop power generation simulations with actual on-site conditions. Confirm the expected energy generation, explain the basis for it, revise the design as necessary, and assess the impact on the financials. By carrying out this series of steps carefully, the reliability of the plan is increased. PVSyst is a tool that supports the core analysis of expected generation, and when combined with on-site information it facilitates more practical decision-making.

Practitioners who are about to consider introducing solar power generation equipment or planning a power plant should not view PVSyst results merely as numbers; it is important to check what assumptions were made, what losses are anticipated, and what design decisions those lead to. To improve the accuracy of generation estimates, organizing the simulation conditions and accurately understanding on-site information are indispensable.

If you want to streamline everything from on-site surveying, solar power plant design review, pile position and layout verification, to capturing site conditions before and after construction, not only power generation simulation but also a system to accurately acquire and utilize field data becomes important. By combining power generation analysis using PVSyst with the organization of on-site three-dimensional information and positional information, you can more easily reduce discrepancies between financial feasibility assessments and on-site decisions.